Showing 4 open source projects for "expect for windows"

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  • 1
    SuperTest

    SuperTest

    Super-agent driven library for testing node.js HTTP servers

    A super-agent driven library for testing node.js HTTP servers using a fluent API. The motivation with this module is to provide a high-level abstraction for testing HTTP, while still allowing you to drop down to the lower-level API provided by superagent. Install SuperTest as an npm module and save it to your package.json file as a development dependency. You may pass an http.Server, or a Function to request(), if the server is not already listening for connections then it is bound to an...
    Downloads: 2 This Week
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  • 2
    stdlib

    stdlib

    Standard library for JavaScript and Node.js

    A standard library for javascript and node.js. High performance, rigorous, and robust mathematical and statistical functions. Build advanced statistical models and machine learning libraries. Plotting and graphics functionality for data visualization and exploratory data analysis. Analyze and understand your data. Comprehensively tested utilities for application and library development. Functions to assert, group, filter, map, pluck, and transform your data both in browsers and on the...
    Downloads: 15 This Week
    Last Update:
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  • 3
    Apexcharts.js

    Apexcharts.js

    Interactive JavaScript Charts built on SVG

    A modern JavaScript charting library that allows you to build interactive data visualizations with simple API and 100+ ready-to-use samples. Packed with the features that you expect, ApexCharts includes over a dozen chart types that deliver beautiful, responsive visualizations in your apps and dashboards. ApexCharts is an MIT-licensed open-source project that can be used in commercial and non-commercial projects. You can create a combination of different charts, sync them and give your...
    Downloads: 0 This Week
    Last Update:
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  • 4
    ConvNetJS

    ConvNetJS

    Deep learning in Javascript to train convolutional neural networks

    ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and...
    Downloads: 0 This Week
    Last Update:
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